Mannell Jenevieve, Davis Katy, Akter Kohenour, Jennings Hannah, Morrison Joanna, Kuddus Abul, Fottrell Edward
University College London, UK.
University of Leeds, UK.
J Mix Methods Res. 2021 Jan;15(1):18-36. doi: 10.1177/1558689820914806. Epub 2020 Apr 13.
This article contributes to the field of mixed methods by introducing a new method for eliciting participant perspectives of the quantitative results of randomized controlled trials. Participants are rarely asked to interpret trial results, obscuring potentially valuable information about why a trial either succeeds or fails. We introduce a unique method called visual participatory analysis and discuss the insights gained in its use as part of a trial to prevent risk and reduce the prevalence of diabetes in Bangladesh. Findings highlight benefits such as elucidating contextualized explanations for null results and identifying causal mechanisms, as well as challenges around communicating randomized controlled trial methodologies to lay audiences. We conclude that visual participatory analysis is a valuable method to use after a trial.
本文通过引入一种新方法来引出参与者对随机对照试验定量结果的看法，为混合方法领域做出了贡献。参与者很少被要求解释试验结果，这使得关于试验成败原因的潜在有价值信息变得模糊不清。我们引入了一种独特的方法，称为视觉参与式分析，并讨论了在作为孟加拉国预防糖尿病风险和降低糖尿病患病率试验的一部分使用该方法时所获得的见解。研究结果突出了一些益处，如阐明无结果的情境化解释和识别因果机制，以及在向普通受众传达随机对照试验方法方面所面临的挑战。我们得出结论，视觉参与式分析是试验后使用的一种有价值的方法。
